TG Bot Customer Service Not Replying? A Full-Link Troubleshooting Guide from Webhook to Agent

TG Bot customer service not replying is one of the most frustrating issues for teams using Telegram for customer support. Users send messages, the Bot doesn’t respond, and agents can’t see new conversations on the web console—the entire support chain seems broken. This article provides a comprehensive tg bot customer service troubleshooting checklist, from Webhook configuration, conversation routing, agent permissions to the TG-Staff console, helping you quickly restore customer service responses.

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Why Does TG Bot Customer Service “Not Reply”? An Overview of Common Causes

The reasons why tg bot customer service doesn’t reply typically cluster around the following links. First, take a look at the overview to quickly pinpoint the issue:

1. Webhook Failure or Misconfiguration: Communication between the Bot and the server is interrupted, preventing user messages from reaching the processing system.
2. Incorrect Bot Token or Project Disabled: The Bot Token associated in the TG-Staff console is incorrect, or the project is disabled.
3. Conversation Routing Rules Not Applied: Agents are online, but messages are not assigned (e.g., routing rule is “round-robin” and it’s not that agent’s turn).
4. Agent Offline or Not Assigned Permissions: The agent hasn’t logged into the web console, or the agent is not checked as a customer service representative in project settings.
5. Browser Cache or Network Issues: Web page cache, ad blockers, or proxies prevent real-time message refresh.
6. Content Moderation Rules Blocking (Pro Version): Messages sent by agents hit risk phrases and are blocked by the system, mistakenly perceived as “not replying.”

Next, we troubleshoot step by step.

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Step 1: Check Webhook Status—Is Communication Between TG Bot and Server Normal?

The Webhook is the bridge between the Telegram Bot and the customer service system. If the Webhook fails, user messages never reach the TG-Staff server, and agents naturally won’t receive them.

How to One-Click Check Webhook in TG-Staff Console?

The TG-Staff console has a built-in Webhook status check feature. Go to Project Settings → Bot Configuration, and the page will display the current Webhook URL and status (e.g., “Normal” or “Abnormal”). If abnormal, click the “Reset Webhook” button to auto-fix.

Curl Command Example to Manually Verify Webhook via Telegram API

You can also manually verify via the Telegram Bot API:

curl https://api.telegram.org/bot<YOUR_BOT_TOKEN>/getWebhookInfo

In the response, pay attention to the following fields:

• url: Whether it points to the TG-Staff Webhook address (usually https://app.tg-staff.com/api/webhook/...).
• last_error_date and last_error_message: If there are errors, it indicates abnormal Webhook communication.
• pending_update_count: The number of pending messages; a large number means messages are backlogged and not distributed.

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Step 2: Confirm Agent Online Status and Permissions — Why Can’t Agents Receive Messages?

The webhook is working, but agents still can’t receive messages? The issue may be on the agent side.

Where Do Messages Go When Agents Are Offline? Difference Between “Online Priority” and “Round Robin”

TG-Staff provides two conversation distribution rules:

Distribution Rule	How It Works	Behavior When All Agents Are Offline
Round Robin (default)	Polls agents with permissions in order, regardless of online status	Messages are still distributed in order, but offline agents can’t pick them up, potentially causing message stagnation
Online Priority	Prioritizes online agents; falls back to round robin when all are offline	Falls back to round robin when all offline, also potentially causing message stagnation

Troubleshooting: In the console, go to “Project Settings → Conversation Distribution” to confirm the rule. For small teams with few agents, it’s recommended to use “Online Priority” to ensure online agents receive messages promptly.

How to Properly Configure Agent Project Customer Service Scope?

Even if an agent account exists, if the agent is not selected in the project settings, the system will not distribute conversations to them. Go to Project Settings → Agent Management and check:

• Whether the agent is selected as a “Project Agent”.
• If the project customer service scope is set to “Specified Agents”, make sure the agent is in the list.

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Step 3: Check the diversion link and traffic flow—Has the user reached a human agent?

If the user entered the Bot via a diversion link from an ad or social media, verify that the entire traffic flow is intact.

The diversion link redirection logic: User clicks link → Redirected to Telegram Bot → Bot auto-replies (welcome message/menu) → User triggers transfer to human agent → Human agent takes over.

Common breakpoints:

• The auto-reply flow does not include a “transfer to human agent” action, ending with “end conversation” or “reply with fixed message” instead.
• Conditional branches are set in the auto-reply flow, but the user’s input does not match any branch, leaving the flow unresponsive.

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Step 4: Check if Messages Are Blocked by Content Moderation Rules (Pro Version)

For teams using the TG-Staff Pro version, content moderation (internal control management) may be an invisible reason for “no reply.”

When an agent sends a message that triggers risk phrases (e.g., wallet addresses, sensitive words, specific payment addresses), the system will:

• Pop up a window asking the agent to confirm;
• Or directly block the message (depending on the moderation rule configuration).

The agent may mistakenly think the message was sent, but it was actually intercepted, creating the illusion of “no reply.”

Troubleshooting method: Go to Content Moderation → Trigger Logs and check if there are interception logs for that agent. The logs will show:

• The triggering agent and time
• The risk phrase triggered
• The message content at the time of trigger

If it is confirmed as a false interception, you can adjust the risk phrase (e.g., change from “Block” to “Popup Confirmation”) or remove the phrase from the current project.

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Step 5: Clear Browser Cache and Network Environment—Common Pitfalls on the Web Interface

Sometimes the problem is not on the server side but due to display issues in the web console itself.

• Browser Cache: TG-Staff’s real-time session list relies on WebSocket connections, and cache may prevent the list from updating. It is recommended to log in again using the browser’s incognito mode.
• Ad Blockers: Some ad-blocking plugins (e.g., uBlock Origin) may block WebSocket connections, causing message delays or loss. Try adding the TG-Staff console domain to the whitelist.
• Network Proxy: If the agent uses a proxy or VPN, it may affect WebSocket stability. Try disabling the proxy and retrying.

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Step 6: Contact Official Support—When All the Above Steps Fail

If all the above steps have been checked and the problem remains unresolved, you can directly contact the TG-Staff official team.

It is recommended to prepare the following information to speed up the troubleshooting:

• Bot Token (be careful not to leak it publicly)
• Project ID (can be found in the console project settings)
• Problem description: when it started, affected scope (all agents or individual agents), and troubleshooting steps already taken

Support Channels:

• Official support Bot: @tgstaff_robot
• Official Documentation: docs.tg-staff.com
• In-console help entry: the “Help” button at the bottom right of the page

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Frequently Asked Questions

Q: The TG Bot agent does not reply, but users can receive auto-replies from the Bot. What is the problem?

A: Auto-replies working normally indicate that the Webhook and the Bot itself are not faulty. The problem usually lies in session routing configuration or agent permissions—check if the agent is online, if they are within the project’s customer service scope, and if the routing rule is set to “Online First” with no online agents.

Q: The agent is clearly online, but why are they not receiving new sessions?

A: Possible reasons: ① The agent is not checked as a customer service representative in the project settings; ② The current session has already been taken by another agent or is in an “Ended” state; ③ The routing rule is “Round Robin,” and new messages are assigned to other agents. It is recommended to view all active sessions in the TG-Staff console’s “Session List.”

Q: After using a routing link, users enter the Bot but cannot transfer to a human agent. What should I do?

A: Please check the Bot’s visual command flow: confirm that after the “Welcome” or “Menu” node, there is an “Transfer to Human Agent” action. If the flow ends with “End Session” or “Reply with Fixed Message,” users will not be able to trigger a human agent.

Q: Can TG-Staff Pro’s content moderation prevent messages from being sent?

A: Yes. When an agent sends a message that triggers risk phrases (e.g., wallet addresses, sensitive words), the system will pop up a window for confirmation or directly block the sending. Go to “Content Moderation → Trigger Logs” to check for interception logs and adjust risk phrases as needed.

Q: Why is my Webhook showing as normal, but the Bot is not replying?

A: In addition to the Webhook status, also confirm: ① Whether the Bot Token is correctly entered in the TG-Staff console; ② Whether the project is in “Enabled” status; ③ Whether the subscription has expired (free trial lasts 3 days, then requires renewal). It is recommended to re-save the Bot Token in the console’s “Project Settings” and trigger a test message.

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Conclusion: From Troubleshooting to Prevention

Most cases of “tg bot agent not replying” can be resolved by following the above 6 steps. But instead of “firefighting” every time, it is better to establish a prevention mechanism:

• Regularly check Webhook status: Once a week, or immediately after modifying the Bot configuration.
• Set offline notifications for agents: TG-Staff supports message alerts when agents are offline (enable in notification settings).
• Use the “Online First” routing rule: Reduce message backlog.
• Test content moderation rules before deploying: Validate in a test project first to avoid false interceptions.

If you haven’t used TG-Staff yet, you can now register for a free trial for 3 days to experience one-stop TG Bot customer service management. For further troubleshooting, contact @tgstaff_robot or refer to the official documentation.